0.1.0-beta11

General

• Refactor package structure to make it more suitable for expansion to over languages.

  Note: There aren't any plans to support other languages yet.

Model

• Reduce duplication in training data
• Introduce PURPOSE label for tokens that describe the purpose of the ingredient, such as for the dressing and for garnish.
• Replace quantities with "!num" when determining the features for tokens so that the model doesn't need to learn all possible values quantities can take. This results in a small reduction in model size.

Processing

• Various bug fixes to post-processing of tokens with labels NAME, COMMENT, PREP, PURPOSE, SIZE to correct punctuation and confidence calculations.
• Modification of tokeniser to split full stops from the end of tokens. This helps to model avoid treating "token." and "token" as different cases to learn.
• Add fallback functionality to parse_ingredient for cases where none of the tokens are labelled as NAME. This will select name as the token with the highest confidence of being labelled NAME, even though a different label has a high confidence for that token. This can be disabled by setting expect_name_in_output=False in parse_ingredient.